Axon Data PT · EN

Data engineering · Data governance · AI

Data engineering consulting for safer decisions in your business.

Axon Data organizes, integrates and operates your data environment, from diagnosis to support.

ERP · CRM · APIs · SFTP→ ETL/ELT pipelines→ warehouse · lakehouse→ traceable decisions
Founder experience
20 years in data
Delivered
30+ projects
Model
Remote, worldwide

How can we help you?

Without the right data architecture, data loss value and decisions become guesses.

These four symptoms often appear together. If you recognise some of them, your data architecture is missing or not robust enough.

Conflicting numbers

Every department reports a different figure for the same question. No single source of truth.

Daily manual rework

Time your team spends assembling reports or integrations that should already be automated.

Disconnected systems

ERP, CRM and finance that don't talk to each other — and the integration lives in a spreadsheet.

No lineage

Nobody can say where a number came from, when it was last refreshed, or whether it's correct.

Vendor independence

We don't sell tools and frameworks. We sell the right data architecture for your business.

We are not a commercial reseller for any technology vendor. The recommendation you get carries no commission behind it.

We look for the best way for your company to work and operate — which means starting from real constraints: what your team can run, what your compliance rules allow, what already exists in your stack, and what your budget supports.

Sometimes the best architecture is the one that keeps what already works. At Grupo Engear we kept part of the data architecture and improved the rest with BigQuery, instead of replacing everything and losing the team's knowledge.

context team capability internal constraints budget no vendor commission

Some of the tools we use are the ones that fit your scenario, chosen for your context, and not because of a commercial agreement.

Apache Airflow pandas PySpark dbt Dagster Databricks Microsoft Fabric Google Cloud Platform Amazon Web Services Microsoft Azure ClickHouse MySQL Power BI GitHub OpenMetadata

What we deliver

End-to-end data engineering.

More than building dashboards: we structure the data operation so that important decisions don't depend on fragile data.

Track 01

Consulting & assessment

We map sources, processes and the maturity of your data environment. You receive an objective diagnostic with a prioritised roadmap, including the cost of the investment.

Track 02

Implementation

Warehouses, lakes and lakehouses, ETL/ELT pipelines, data governance tools, AI agents and machine-learning solutions.

Track 03

Managed operation

Dedicated engineers keeping the environment running: monitoring, fixes, evolution and knowledge transfer to your internal team.

The Axon method

Defined stages reduce operational risk in data projects.

The sequence matters: skipping the diagnostic is what makes data projects overrun on both time and budget, and it hides the real problems.

STAGE 01

Diagnostic

Survey of sources, processes, volume and maturity. The outcome is a document describing the current state and what needs to change, even if you decide not to continue with us.

STAGE 02

Architecture

Target-state design and tooling selection against your scenario, with a roadmap prioritised by impact and effort.

STAGE 03

Implementation

Pipelines, integrations and the analytical layer, delivered in increments that produce value before the project ends.

STAGE 04

Ongoing support

Continuous operation with monitoring, support and full lineage. This last step is crucial to keep the solutions running and to support the evolution of your data architecture.

Selected work

Delivered projects, and the metric that changed.

National education institution · data governance
Enterprise platform for data governance deployed on-premises, with segregated development and production environments
Situation
A data maturity programme that needed a solid base for governance, quality and reliability — under simultaneous pressure from cybersecurity requirements and timeline.
What we built
Kubernetes infrastructure hosting the full OpenMetadata ecosystem, plus automated quality tests translating business rules into continuous SQL validation.
KubernetesOpenMetadataPostgreSQLOpenSearchApache Airflow
Engineering group · analytics architecture
90% cost reduction in analytics infrastructure, with scalability and less operational load on the IT team
Situation
A data warehouse on AWS RDS MySQL, limited in scalability, administration and cost for analytical workloads.
What we built
Migration to Google BigQuery while keeping the existing Pentaho ETL: a Python program takes over the load into BigQuery after transformation, modernising the environment without discarding what already worked.
Google BigQueryAWS RDSPentahoPython
Laboratory group · corporate lakehouse
Single source bringing the group's ERPs and public health datasets into one standardised lakehouse
Situation
Data scattered across multiple ERPs, with no common architecture for integrated analysis.
What we built
Architecture definition on Microsoft Fabric and consolidation of five years of history from national health and statistics APIs, alongside work on data culture with the business areas.
Microsoft FabricLakehousePublic APIs
Logistics · invoice reconciliation
4 hrs/day returned to the operation, with data ready before the workday starts
Situation
Invoice reconciliation handled manually by one employee — slow, error-prone, consuming hours of the team's day.
What we built
Data pipeline, data lake and reconciliation dashboard, with processing scheduled overnight.
Data lakeETLDashboard
From the very first conversation, Axon Data gave us consultative, clarifying guidance that brought clarity and confidence. Delivery was excellent, both technically and in project management. Even through significant change management, quality held. Axon Data's people have deep, highly specialised technical knowledge. I recommend them.
SENAI Pernambuco — Data Orientation Journey programme · translated from Portuguese

After the structure

What changes when the data operation stops being improvised.

Frequently asked

Before you get in touch.

Where is your team based, and what hours do you work?

Brazil, in the UTC−3 time zone. Our standard day overlaps almost entirely with US Eastern business hours and covers the morning in the UK and Western Europe. Meetings happen inside your working day, not at the edges of it.

Do you work with clients outside Brazil?

Yes. Our operation is remote by design and the founder has worked across three countries. Contracting, NDAs and invoicing arrangements for international clients are handled case by case — tell us what your procurement process requires.

What about data residency and compliance?

Data residency is decided during the assessment, not afterwards: where your data lives depends on your regulatory obligations and your existing cloud footprint. We build with lineage and access control in place so the environment can withstand an audit.

Cloud or on-premises?

Both — and we have delivered in both models, including a full on-premises Kubernetes governance platform. The choice is part of the assessment and depends on volume, compliance constraints, cost and what already exists in your infrastructure.

Will you replace the tools we already use?

Only when it genuinely helps. At Grupo Engear we kept part of the architecture the team already ran and improved the rest with BigQuery, modernising the analytical platform without discarding the existing investment or pausing the operation.

Can we start small?

Yes — and we usually recommend it. The assessment exists to identify the smallest slice that already delivers a result and proves the approach before a larger commitment.

How do you price?

It depends on the scope defined in the assessment. We don't quote before understanding the scenario — a proposal without an assessment is a guess, and guesses in data projects are expensive.

Next step

Describe your scenario and we'll assess the starting point together.

If you already have an RFP or an internal requirements document, mention it in the message. Axon Data doesn't make generic promises — we assess before proposing anything.

Email — [email protected]
Based in — Belo Horizonte, Brazil · UTC−3
Reply — within one business day